MCP server

DealScanner Official

io.dealscanner/dealscanner

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

Search real-estate deals, rank top areas, run rental/BRRRR/flip analysis, pull sold comps.

Website Source

At a glance

Type

MCP server

Publisher

dealscanner.io (verified by the MCP Registry)

Status

Working at last check

Tools

7

Token cost

About 1,309 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

28 Oct 2026, 09:03 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http dealscanner https://mcp.dealscanner.io/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.dealscanner]
url = "https://mcp.dealscanner.io/mcp"

Gemini CLI

{"mcpServers":{"dealscanner":{"httpUrl":"https://mcp.dealscanner.io/mcp"}}}

Cursor

{"mcpServers":{"dealscanner":{"url":"https://mcp.dealscanner.io/mcp"}}}

VS Code

{"servers":{"dealscanner":{"type":"http","url":"https://mcp.dealscanner.io/mcp"}}}

Antigravity

agy mcp add dealscanner https://mcp.dealscanner.io/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"dealscanner","server_url":"https://mcp.dealscanner.io/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"dealscanner","server_url":"https://mcp.dealscanner.io/mcp"}

Tools

• analyze_brrrr ~233 tokens
  Run a BRRRR (buy-rehab-rent-refinance-repeat) analysis. Provide either `address` to analyze an existing listing, or the raw inputs (`purchase_price`, `rehab_cost`, `arv`, `monthly_rent`) for an ad-hoc deal.
• area_stats ~165 tokens
  Get aggregated market, sheriff, sold, and investment stats for one area. Args: name: Neighborhood or municipality name (e.g. "Point Breeze North"). area_type: "neighborhood" or "municipality". Returns counts, median prices, average cap rate, and sold-comp metrics for th
• get_comps ~107 tokens
  Get recently sold comparable properties. Args: query: Address or area substring to match. limit: Max results (1-100).
• get_property ~126 tokens
  Get the full DealScanner analysis for one property by street address. Args: address: Full property address. strategy: "flip", "rental", or "brrrr".
• search_deals ~396 tokens
  Search DealScanner investment properties. Args: query: Address, municipality, or neighborhood text to match. strategy: Investment lens - one of "flip", "rental", "brrrr". min_price / max_price: Listing price bounds (USD). beds / baths: Minimum bedroom / bathroom
• top_investment_areas ~230 tokens
  Rank the best areas to invest (neighborhoods + municipalities). Answers "where should I invest?" using DealScanner's market intelligence. Args: sort_by: Ranking metric - one of "cap_rate" (avg cap rate), "roi"/"flip_watch" (projected flip ROI), "count" (inventory),
• whoami ~52 tokens
  Return the identity and scopes of the current DealScanner API principal.

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